get_production_health

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden, and it does disclose useful behavioral traits: it fans out across multiple services in one call and returns condensed status signals rather than raw logs. However, it omits freshness/latency, auth requirements, rate limits, and what happens when a service is disconnected — meaningful gaps for a no-annotation aggregation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two dense sentences with zero filler; the aggregation scope and the output-shape contrast with raw logs are both front-loaded. Nothing could be removed without losing information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-required-parameter read tool with no output schema, the definition covers scope and output character adequately. It would be stronger if it sketched the shape of the returned signals or noted what an agent should do on degraded results, but nothing critical to invoking it is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for the single 'project' parameter, so the baseline of 3 applies. The description never mentions the parameter or what passing a project name changes about the aggregation, adding no meaning beyond the schema text.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific verb (get) and a concrete resource (production health), then enumerates exactly which services are aggregated (Uptime, Sentry, Vercel, Cloudflare 5xx). This tells an agent what it gets without opening the schema. It does not, however, differentiate itself from the closest sibling get_observability_status, which plausibly covers similar ground.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 'single-call' and 'lean status signals rather than verbose raw logs' phrasing implies this is the quick-overview entry point versus the deeper siblings (analyze_logs, get_deployment_logs, get_error_details), but no alternative is named and no when-not condition is stated. Usage must be inferred from tone rather than explicit guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.